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aggregate_news

Aggregate news from multiple platforms by merging similar reports into a single item, showing cross-platform coverage and combined popularity.

Instructions

跨平台新闻聚合 - 对相似新闻进行去重合并

将不同平台报道的同一事件合并为一条聚合新闻,显示跨平台覆盖情况和综合热度。

Args: date_range: 日期范围,不指定则查询今天 platforms: 平台ID列表,如 ['zhihu', 'weibo'],不指定则使用所有平台 similarity_threshold: 相似度阈值,0.3-1.0,默认0.7(越高越严格) limit: 返回聚合新闻数量,默认50 include_url: 是否包含URL链接,默认False

Returns: JSON格式的聚合结果,包含去重统计、聚合新闻列表和平台覆盖统计

Examples: - aggregate_news() - aggregate_news(similarity_threshold=0.8)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_rangeNo
platformsNo
similarity_thresholdNo
limitNo
include_urlNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full burden. It discloses that it merges similar news and shows cross-platform coverage, but lacks details on side effects, permissions, rate limits, or error handling.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with Args, Returns, and Examples sections. While slightly lengthy, every sentence adds value and the formatting aids readability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (5 parameters, output schema exists), the description covers the main functionality and parameters adequately. It does not discuss error handling or edge cases, but is complete for typical use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description fully explains each parameter (date_range, platforms, similarity_threshold, limit, include_url) including defaults, meaning, and example values, adding significant value beyond the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it aggregates news across platforms and deduplicates similar news, distinguishing it from sibling tools like get_latest_news or search_news.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides context for usage (e.g., defaults for date_range, platforms) and examples, but does not explicitly state when to use this tool versus alternatives or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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